Re: st: MANCOVA versus Zellner's SUR

Two response variables are each measured at baseline and again
after treatment in a study with random allocation to treatment
groups. I would like to use the baseline measurements as covariates
in a multivariate analysis. Does anyone have a recommendation as to
whether -manova- or -sureg- would be more appropriate here?

You don't indicate what the objective(s) of the analysis are
(including what other covariates might be relevant), but wouldn't
another option here be to compute the differences (pre to post) for
each measure, and then look at how the joint distribution of those
differences differs between the treatment groups? For starters, a
simple test of the null hypothesis that the mean differences are the
same (using, say, Hotelling's T-squared test) would presumably be
informative.